tingfeng347
Abstract. I am Tingfeng (tingfeng347), an incoming M.Eng. student in Computer Technology at Hebei University of Technology. I received my B.Eng. in Data Science and Big Data Technology from Henan Agricultural University. I am currently at the beginning of my graduate training, building a foundation through coursework, reading, and engineering practice.
\[\mathcal{I} = \{\mathrm{CV},\ \mathrm{SLAM},\ \mathrm{LLMs},\ \mathrm{Agents},\ \mathrm{Systems}\}\]
[Github] [Blog] [Education] [Research]
\(\S\) Current
My current focus is on developing the habits and methods needed for graduate research: reading carefully, documenting ideas, and turning practical observations into questions that can be explored rigorously. I am especially interested in the intersection of intelligent systems and dependable software engineering.
This site is a living record of that process. It will grow with my coursework, research notes, open-source work, and project reflections.
\(\S\) Recent
2026 · Preparing for graduate study in Computer Technology at Hebei University of Technology.
Now · Exploring Computer Vision, SLAM, and LLM-based intelligent systems.
Ongoing · Organizing reading notes, technical experiments, and reusable engineering tools.
\(\S\) Research Interests
I am at an early stage of research training. The topics below describe my current interests rather than completed academic results.
\(\triangleright\) Intelligent Perception
- \(\mathcal{V}\)Computer Vision and SLAM: visual perception, spatial understanding, localization, and mapping for intelligent systems.
\(\triangleright\) Language Models and Agents
- \(\mathcal{L}\)LLM applications: retrieval-augmented generation, tool use, agents, multi-agent collaboration, and knowledge-grounded workflows.
\(\triangleright\) AI Engineering
- \(\mathcal{S}\)Reliable systems: local model deployment, inference workflows, context management, and engineering practices for dependable AI applications.
\(\S\) Selected Projects
- Windcode — An intelligent software-development agent with multi-model support, streaming output, tool use, and an extensible architecture.
- zst_agent — An intelligent customer-service system built with FastAPI and Vue 3, integrating RAG and AI agent capabilities.
- writing_agent — A multi-agent research and writing assistant built with FastAPI, Vue 3, and LangGraph.
- archtools — A terminal UI toolkit for managing Pacman, AUR, and Flatpak packages on Arch Linux.
\(\S\) Development Environment
I work primarily with Arch Linux and Niri. My daily tools include Python, Bash, FastAPI, Vue, VS Code, and Codex CLI. I enjoy using the command line and reusable toolchains to keep the development process simple, inspectable, and efficient.
Previous Notes
This area is reserved for early reading notes, coursework reflections, and concise summaries of completed experiments.
\(\S\) Education
| 2026 — Present | Hebei University of Technology | M.Eng. candidate in Computer Technology · Year 0 |
| Undergraduate | Henan Agricultural University | B.Eng. in Data Science and Big Data Technology |
For technical discussion or open-source collaboration, please find me on GitHub.